CN102664664A - Multi-user downlink transmission system self adaptive transmission method by using channel statistical information - Google Patents

Multi-user downlink transmission system self adaptive transmission method by using channel statistical information Download PDF

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CN102664664A
CN102664664A CN2012100175295A CN201210017529A CN102664664A CN 102664664 A CN102664664 A CN 102664664A CN 2012100175295 A CN2012100175295 A CN 2012100175295A CN 201210017529 A CN201210017529 A CN 201210017529A CN 102664664 A CN102664664 A CN 102664664A
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user
channel
base station
mode coupling
statistical information
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李潇
金石
高西奇
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Southeast University
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Abstract

A multi-user downlink transmission system self adaptive transmission method by using channel statistical information can greatly improve frequency spectrum utilization and power efficiency of a communication system. The transmission method comprises the following steps that: users use results of channel estimation to calculate the channel statistical information of their own, namely, a channel characteristic mode coupling vector and the noise variance of receiving antennas of different users; and a base station selects served users and carries out power distribution and precoding transmission, based on the feedback channel statistical information from the users. The invention provides a multi-user downlink MISO transmission system self adaptive transmission scheme by using channel statistical information. The method can adjust transmission parameters according to statistical characteristics of the channel, and can acquire a relatively high sum data rate.

Description

Utilize the adaptive transmission method of channel statistical information in the multiuser downstream transmission system
Technical field
The present invention relates to a kind of multiuser downstream transmission system, relate in particular to a kind of multiuser downstream transmission system adaptive transmission method that utilizes statistic channel information through using a plurality of transmitting antennas to come transmitting high speed data.
Background technology
In recent years, information-theoretical research shows that multi-antenna technology can improve the transmission rate of wireless communication system significantly.At present, final conclusion has been arranged basically, then caused international scholars' extensive concern for the capacity of multi-user system and the research of best transmission scheme to the research of point-to-point single user system.Multi-user multi-aerial system can obtain good performance and bigger capacity owing to have diversity gain, spatial multiplexing gain and multi-user diversity gain, will become one of key technology of new generation of wireless communication network.
Compare with traditional single user's multiaerial system; Multi-user multi-aerial system has following outstanding advantage: owing to adopt so-called multiuser multiplexing, the multi-user multi-antenna technology can be brought the direct gain (being directly proportional with the antenna for base station number) of multiple access access capacity; Utilize multi-user diversity and scheduling, the multi-user multi-antenna technology can break through many propagation restrictions of the single user's multi-antenna communication of puzzlement, and is relevant like channel matrix rank defect or antenna; Only have at user terminal under MISO (multiple-input multiple-output) situation of single antenna, multi-user system still can obtain the spatial reuse gain, therefore helps developing the little and cheap terminal of volume.
Regrettably, for multi-user system, the benefit that the acquisition multi-antenna technology brings has cost.For single user's multiple antenna communication, transmitting terminal known channel information is dispensable, but for many multi-user multi-antenna downlink precoding technology, but is vital.All suppose the known desirable channel information in base station in many existing multi-user multi-antenna downlink transmission systems.In the communication of reality, the channel information of base station is to be provided through up Limited Feedback channel by the user.Because there is the sum of errors delay of feedback inevitably in the transmission of feedback information, therefore, suppose that the known desirable channel information of transmitting terminal is unpractical often, particularly when number of users and number of transmit antennas than greatly and channel state variations faster the time.In addition, the up-link capacity that feeds back to of channel information causes very big burden, in the broadband (like OFDM) system with have in the high mobility system, this problem becomes more serious.Therefore, utilizing channel statistical information to carry out Adaptive Transmission is suitable selection.
Summary of the invention
Technical problem: the purpose of this invention is to provide the adaptive transmission method that utilizes channel statistical information in a kind of multiuser downstream transmission system, can send parameter, obtain higher and speed and lower complexity according to channel statistic property adjustment.
Technical scheme: utilize the adaptive transmission method of channel statistical information to carry out as follows in the multiuser downstream transmission system of the present invention:
1) obtaining of BTS channel statistical information: in the multi-user downlink, total number of users is L, and the number of users that can serve is K, and the number of transmit antennas of base station is n T, each user's reception antenna number is 1, the channel vector between base station and the user k is h kEach user utilizes the estimated value of channel parameter to calculate its channel characteristics Mode Coupling vector m (k)At last, each user is with the channel characteristics Mode Coupling vector m of self (k)With the noise variance on its reception antenna
Figure BDA0000132550940000021
Feed back to the base station;
2) base station is divided into n according to each user's channel characteristics Mode Coupling vector with the user TType, wherein the user in the k class to satisfy the greatest member of its channel characteristics Mode Coupling vector be k element;
3) base station is selected the maximum user of channel characteristics Mode Coupling vector greatest member respectively from every type of user;
4) n that selects from step 3) of base station TSelect maximum K user of greatest member of channel characteristics Mode Coupling vector among the individual user, be designated as user 1 respectively to user K;
5) the sending direction precoding vectors of base station calculating user k does
Figure BDA0000132550940000022
Wherein, the greatest member of the channel characteristics Mode Coupling vector of user k is its i kIndividual element, A TBe n T* n TThe Fourier transform battle array,
Figure BDA0000132550940000023
Be A TI kRow;
6) power that each user distributes is calculated according to channel statistical information in the base station
Figure BDA0000132550940000024
K=1, K, K, wherein,
Figure BDA0000132550940000025
Be user k channel characteristics Mode Coupling vector m (k)Greatest member, μ serves as reasons
Figure BDA0000132550940000026
The constant of decision, the P total emission power;
7) utilize the sending direction precoding vectors and the power distribution method that calculate in step 5) and the step 6) to carry out power division, and the precoding transmission.
The channel statistical information that the base station obtained refers to each user's channel characteristics Mode Coupling vector and the noise variance on each user's reception antenna.
Beneficial effect: the invention provides a kind of Multi-users MIS O descending self-adapting transmission method that utilizes channel statistical information, this method has following advantage:
1, this method only needs the statistical information of channel, is applicable to various typical wireless communication systems;
2, the adaptive transmission method complexity in this method low, be easy to realize;
3, this method can obtain higher and speed.
Description of drawings
Fig. 1 is the present invention
Embodiment
Method of the present invention mainly may further comprise the steps:
1) obtaining of BTS channel statistical information: in the multi-user downlink, total number of users is L, and the number of users that can serve is K, and the number of transmit antennas of base station is n T, each user's reception antenna number is 1, with the channel vector h between base station and the user k kBe modeled as Wherein, subscript
Figure BDA0000132550940000028
Represent conjugate transpose; E represents the Hadama product;
Figure BDA0000132550940000031
A TBe n T* n TThe Fourier transform battle array;
Figure BDA0000132550940000032
Be 1 * n TThe fixing real vector of dimension, its element is non-negative;
Figure BDA0000132550940000033
Being one is zero by average, and variance is 1 * n that 1 independent identically distributed stochastic variable is formed TThe dimension random vector; h kSatisfy
Figure BDA0000132550940000034
E{} representes to ask expectation.Each user utilizes the estimated value of channel parameter to calculate its channel characteristics Mode Coupling vector:
Figure BDA0000132550940000035
Wherein,
Figure BDA0000132550940000036
Subscript () *The conjugate operation of representing matrix; At last, each user is with the channel characteristics Mode Coupling vector m of self (k)With the noise variance on its reception antenna Feed back to the base station.
2) base station is divided into n according to each user's channel characteristics Mode Coupling vector with the user TType, wherein the user in the k class to satisfy the greatest member of its channel characteristics Mode Coupling vector be k element;
3) base station is selected the maximum user of greatest member of its channel characteristics Mode Coupling vector respectively from every type of user;
4) n that selects from step 3) of base station TSelect maximum K user of greatest member of channel characteristics Mode Coupling vector among the individual user, be designated as user 1 respectively to user K;
5) the sending direction precoding vectors of base station calculating user k does
Figure BDA0000132550940000038
Wherein, the greatest member of the channel characteristics Mode Coupling vector of user k is its i kIndividual element, Be A TI kRow;
6) power that each user distributes is calculated according to channel statistical information in the base station
Figure BDA00001325509400000310
K=1, K, K, wherein,
Figure BDA00001325509400000311
Be user k channel characteristics Mode Coupling vector m (k)Greatest member, μ serves as reasons
Figure BDA00001325509400000312
The constant of decision, the P total emission power;
7) utilize the sending direction precoding vectors and the power distribution method that calculate in step 5) and the step 6) to carry out power division, and the precoding transmission.
Consider a Multi-users MIS O down link, total number of users is L, and the number of users that can serve is K, and n is adopted in the base station TThe root transmitting antenna, each user adopts 1 reception antenna, and separate signal is sent to each user in the base station.On to its basis of analyzing with speed, one through maximization and speed is similar to and can constructs following precoding transmission plan:
At user side: user i is to digital baseband receiving signals y (i)(n) carry out channel estimating, utilize the statistical information of the calculating channel as a result of channel estimating, and channel statistical information is fed back to the base station.
In base station end: utilize the channel statistical information of each user feedback that the user is classified, all users are divided into n TType, sorted user is dispatched, select the user who serves, calculate the sending direction precoding vectors w of each service-user kAnd the power γ that distributes kIncoming symbol to each service-user flows d then (k)(n), k=1, K, K carries out linear predictive coding, obtains sending signal s ( n ) = s 1 ( n ) s 2 ( n ) L s n T ( n ) T , Wherein, s i(n) the transmission signal of i transmitting antenna of expression base station.d (k)(n) satisfy following relation and between the s (n):
s ( n ) = Σ k = 1 K γ k w k d ( k ) ( n ) 【1】
For making the technical scheme among the present invention clearer, specifically describe in the face of this programme down:
One, the acquisition of channel statistical information
Each user calculates the noise variance on its reception antenna according to the result of channel estimating in the said scheme
Figure BDA0000132550940000042
And channel characteristics Mode Coupling vector m (k)
We are with 1 * n TVectorial h kChannel vector between expression base station and the user k, channel vector h kBe modeled as:
【2】
Figure BDA0000132550940000044
Wherein,
Figure BDA0000132550940000045
A TBe n T* n TThe Fourier transform battle array;
Figure BDA0000132550940000046
Be 1 * n TThe fixing real vector of dimension, its element is non-negative;
Figure BDA0000132550940000047
Being one is zero by average, and variance is 1 * n that 1 independent identically distributed stochastic variable is formed TThe dimension random vector; h kSatisfy
Figure BDA0000132550940000048
E{} representes to ask expectation, and e represents Hadama product, subscript
Figure BDA0000132550940000049
Represent conjugate transpose.
Each user utilizes the estimated value of channel parameter, calculates its channel characteristics Mode Coupling vector respectively:
Figure BDA00001325509400000410
【3】
Wherein,
Figure BDA00001325509400000411
Subscript () *The conjugate operation of representing matrix.At last, each user is with the channel characteristics Mode Coupling vector m of self (k)With the noise variance on the reception antenna
Figure BDA00001325509400000412
Feed back to the base station.
Two, user grouping
The base station is divided into n according to each user's channel characteristics Mode Coupling vector with the user TType, wherein the user in the k class to satisfy the greatest member of its channel characteristics Mode Coupling vector be k element;
Three, user's scheduling
The base station is selected the maximum user of greatest member of its channel characteristics Mode Coupling vector at first respectively from every type of user; N from selecting then TSelect maximum K user of greatest member of channel characteristics Mode Coupling vector among the individual user, be designated as user 1 respectively to user K;
Four, sending direction precoding vectors
The sending direction precoding vectors that user k is calculated in the base station does
Figure BDA00001325509400000413
Wherein, the greatest member of the channel characteristics Mode Coupling vector of user k is its i kIndividual element,
Figure BDA00001325509400000414
Be A TI kRow;
Three, power division
The power γ that in this programme user k is distributed kCalculate with following formula:
γ k = max ( 0 , μ - σ k 2 ( ω max ( k ) ) - 1 ) , 【4】
Wherein,
Figure BDA0000132550940000052
Be user k channel characteristics Mode Coupling vector m (k)Greatest member, μ serves as reasons
Figure BDA0000132550940000053
The constant of decision, the P total emission power.
The specific embodiment of the invention is following:
User side:
1) utilizes the reception signal to carry out channel estimating, draw the noise variance on the reception antenna
Figure BDA0000132550940000054
Utilize formula [2] to calculate its channel characteristics Mode Coupling vector m (k)
2) with m (k)With
Figure BDA0000132550940000055
Feed back to the base station, get into step 3).
Base station end:
3) user is divided into n TType, wherein the user in the k class to satisfy the greatest member of its channel characteristics Mode Coupling vector be k element.
4) from every type of user, select the maximum user of greatest member of its channel characteristics Mode Coupling vector respectively;
5) n that selects from step 4) TSelect maximum K user of greatest member of channel characteristics Mode Coupling vector among the individual user, be designated as user 1 respectively to user K;
6) utilize the noise variance of institute's dispatched users With and channel characteristics Mode Coupling vector m (k), calculate the power γ of its distribution according to formula [4] k
7) the sending direction precoding vectors of user k is
Figure BDA0000132550940000057
8) utilize 6) and 7) in the w that calculates kAnd γ k, send control according to formula [1].

Claims (2)

1. utilize the adaptive transmission method of channel statistical information in the multiuser downstream transmission system, it is characterized in that this method carries out as follows:
1) obtaining of BTS channel statistical information: in the multi-user downlink; Total number of users is
Figure DEST_PATH_IMAGE001
; The number of users that can serve is
Figure 204512DEST_PATH_IMAGE002
; The number of transmit antennas of base station is
Figure DEST_PATH_IMAGE003
; Each user's reception antenna number is 1, and the channel vector between base station and the user
Figure 321504DEST_PATH_IMAGE004
is
Figure DEST_PATH_IMAGE005
; Each user utilizes the estimated value of channel parameter to calculate its channel characteristics Mode Coupling vector
Figure 400887DEST_PATH_IMAGE006
; At last, each user feeds back to the base station with channel characteristics Mode Coupling vector
Figure 982042DEST_PATH_IMAGE006
of self and the noise variance
Figure DEST_PATH_IMAGE007
on its reception antenna;
2) base station is according to each user's channel characteristics Mode Coupling vector is divided into the user
Figure 192574DEST_PATH_IMAGE003
type, wherein the user in
Figure 921496DEST_PATH_IMAGE004
type to satisfy the greatest member of its channel characteristics Mode Coupling vector be
Figure 937993DEST_PATH_IMAGE004
individual element;
3) base station is selected the maximum user of channel characteristics Mode Coupling vector greatest member respectively from every type of user;
4) maximum
Figure 80054DEST_PATH_IMAGE002
individual user of greatest member of channel characteristics Mode Coupling vector is selected in the base station from
Figure 373654DEST_PATH_IMAGE003
the individual user that step 3) is selected, and is designated as user
Figure 968376DEST_PATH_IMAGE008
respectively to user ;
5) base station calculating user's sending direction precoding vectors is
Figure DEST_PATH_IMAGE009
; Wherein, The greatest member of user's
Figure 896646DEST_PATH_IMAGE004
channel characteristics Mode Coupling vector is its
Figure 272263DEST_PATH_IMAGE010
individual element;
Figure DEST_PATH_IMAGE011
is the Fourier transform battle array of
Figure 630563DEST_PATH_IMAGE012
,
Figure DEST_PATH_IMAGE013
be row;
6) power
Figure 895475DEST_PATH_IMAGE014
that each user distributes is calculated according to channel statistical information in the base station;
Figure DEST_PATH_IMAGE015
; Wherein,
Figure 995150DEST_PATH_IMAGE016
is the greatest member of user
Figure 994330DEST_PATH_IMAGE004
channel characteristics Mode Coupling vector
Figure 216364DEST_PATH_IMAGE006
; The constant of decision that
Figure DEST_PATH_IMAGE017
serves as reasons
Figure 563644DEST_PATH_IMAGE018
,
Figure DEST_PATH_IMAGE019
total emission power;
7) utilize the sending direction precoding vectors and the power distribution method that calculate in step 5) and the step 6) to carry out power division, and the precoding transmission.
2. utilize the adaptive transmission method of channel statistical information in the multiuser downstream transmission system according to claim 1, it is characterized in that the channel statistical information that the base station obtains refers to each user's channel characteristics Mode Coupling vector and the noise variance on each user's reception antenna.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104320171A (en) * 2014-11-03 2015-01-28 东南大学 Three-dimensional beam forming space division multi-access adaptive transmission method adopting statistic channel state information
CN109560846A (en) * 2019-01-04 2019-04-02 东南大学 A kind of three-dimensional method for precoding based on model-driven deep learning

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070248172A1 (en) * 2006-04-20 2007-10-25 Mehta Neelesh B System and method for transmitting signals in cooperative base station multi-user MIMO networks
CN101252379A (en) * 2008-04-16 2008-08-27 中国科学院计算技术研究所 Wireless network medium access control system and channel parameter regulation method
CN102064866A (en) * 2011-01-14 2011-05-18 东南大学 Self-adaptive transmission method using channel statistical information in multi-user downlink transmission system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070248172A1 (en) * 2006-04-20 2007-10-25 Mehta Neelesh B System and method for transmitting signals in cooperative base station multi-user MIMO networks
CN101252379A (en) * 2008-04-16 2008-08-27 中国科学院计算技术研究所 Wireless network medium access control system and channel parameter regulation method
CN102064866A (en) * 2011-01-14 2011-05-18 东南大学 Self-adaptive transmission method using channel statistical information in multi-user downlink transmission system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104320171A (en) * 2014-11-03 2015-01-28 东南大学 Three-dimensional beam forming space division multi-access adaptive transmission method adopting statistic channel state information
CN104320171B (en) * 2014-11-03 2017-05-03 东南大学 Three-dimensional beam forming space division multi-access adaptive transmission method
CN109560846A (en) * 2019-01-04 2019-04-02 东南大学 A kind of three-dimensional method for precoding based on model-driven deep learning
CN109560846B (en) * 2019-01-04 2021-03-23 东南大学 Three-dimensional precoding method based on model-driven deep learning

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